$ git checkout -b AWS_Compiled_010 $ git commit -a -m 'AWS Developer content and news, curated by AWS' $ git checkout main $ git merge AWS_Compiled_010
This week, we share some of the major developer related re:Invent launch and preview announcements. For a complete overview of all re:Invent 2020 launches, see the full list here. Also, don’t miss our re:Invent 2020 keynote with Andy Jassy.
FROM THE COMMUNITY
AWS Distro for OpenTelemetry now available for public preview
With the launch of AWS Distro for OpenTelemetry, AWS will continue to help drive advances in observability technologies, enhancing innovation and scalability for the entire OpenTelemetry community by contributing 100% of all changes to the upstream.
Building the future of robots development with ROS 2
People with diverse backgrounds are coming together to make ROS version 2 an enterprise-grade nervous system for a whole new class of robotics applications—a “LAMP stack,” as it were, for robotics.
HANDS ON TUTORIALS
DevOps learning paths: Create a simple continuous delivery pipeline
This tutorial will walk you through the steps to create the continuous delivery pipeline. You will learn to set up a GitHub repository for the application code; Create an AWS Elastic Beanstalk environment to deploy the application; Configure AWS CodeBuild to build the source code from GitHub; Use AWS CodePipeline to set up the continuous delivery pipeline with source, build, and deploy stages.
Start the tutorial here
Other guides to Getting Started with AWS
Learn the fundamentals and start building on AWS. Find step by step tutorials for Full-Stack Developer, Front-End Developer, AI App Developer, Embedded Analytics Developer, Database Administrator, Data Scientist, and Hobbyist Builder.
Getting started with the open source data science tool Metaflow on AWS
We explain how to use Metaflow and AWS to make data science pipelines not only portable to the cloud, but also seamlessly scalable and inspectable.
Managing compute environments for researchers with Service Workbench on AWS
In August, AWS released Service Workbench on AWS, an open source solution for researchers to deploy data and tools on secure IT environments in minutes. We help you get started.
Simplifying serverless best practices with AWS Lambda Powertools Java
Following the community’s continued successful adoption of AWS Lambda Powertools Python, we are announcing the general availability of AWS Lambda Powertools Java.
How to use AWS Backup's Cross-account backup feature
How to get started with using cross-account backup feature to add an additional layer of protection from accidental or malicious deletion or ransomware.
Amazon EKS Distro: The Kubernetes Distribution Used by Amazon EKS
EKS Distro is a distribution of the same version of Kubernetes deployed by Amazon EKS, which you can use to manually create your own Kubernetes clusters anywhere you choose.
Amazon ECR Public: A New Public Container Registry
You have long been able to host private container images on AWS with Amazon Elastic Container Registry, and now with the release of Amazon Elastic Container Registry Public, you can host public ones too, enabling anyone (with or without an AWS account) to browse and pull your published containers.
Preview of AWS Proton: Automated Management for Container and Serverless Deployments
Maintaining hundreds – or sometimes thousands – of microservices with constantly changing infrastructure resources and configurations is a challenging task for even the most capable teams. AWS Proton enables infrastructure teams to define standard templates centrally and make them available for developers in their organization. This allows infrastructure teams to manage and update infrastructure without impacting developer productivity.
AWS CloudShell: Command-Line Access to AWS Resources
AWS-enabled shell prompt simple and secure, with as little friction as possible.
AWS Fault Injection Simulator: Fully managed chaos engineering service
Fault Injection Simulator simplifies the process of setting up and running controlled chaos engineering experiments across a range of AWS services so teams can build confidence in their application behavior.